This procedure is to do MLP (Multi-layer perceptron) algorithm, the user can set their own training data set and test data sets, the training data set is loaded, in the 2,3-dimensional display of their distribution, and were set key section of the value of learning rate, number of iterations to train the neural network can watch the final recognition rate and the RMSE (Root Mean squared error) to determine whether the training can stop.

DataCutForm.cpp
DataCutForm.dfm
DataCutForm.h
DataCutForm.obj
DataCutForm.~cpp
DataCutForm.~dfm
DataCutForm.~h
FileRead.cpp
FileRead.h
FileRead.obj
FileRead.~cpp
FileRead.~h
MLP.bpr
MLP.cpp
MLP.exe
MLP.obj
MLP.res
MLP.tds
MLP.~bpr
MLP.~cpp
MLPAlgo.cpp
MLPAlgo.h
MLPAlgo.obj
MLPAlgo.~cpp
MLPAlgo.~h
ShowForm.cpp
ShowForm.dfm
ShowForm.h
ShowForm.obj
ShowForm.~cpp
ShowForm.~dfm
ShowForm.~h
Unit1.cpp
Unit1.ddp
Unit1.dfm
Unit1.h
Unit1.obj
Unit1.~cpp
Unit1.~ddp
Unit1.~dfm
Unit1.~h

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